利用face_recognition,dlib与OpenCV调用摄像头进行人脸识别
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2022-05-18 19:07:27
用已经搭建好 face_recognition,dlib 环境来进行人脸识别 未搭建好环境请参考:https://www.cnblogs.com/guihua-pingting/p/12201077.html 使用OpenCV 调用摄像头 import face_recognition import ......
用已经搭建好
import face_recognition import cv2 video_capture = cv2.videocapture(0) # videocapture打开摄像头,0为笔记本内置摄像头,1为外usb摄像头,或写入视频路径 mayun_img = face_recognition.load_image_file("mayun.jpg") jobs_img = face_recognition.load_image_file("jobs.jpg") mayun_face_encoding = face_recognition.face_encodings(mayun_img)[0] jobs_face_encoding = face_recognition.face_encodings(jobs_img)[0] face_locations = [] face_encodings = [] face_names = [] process_this_frame = true while true: ret, frame = video_capture.read() # video_capture.read()按帧读取视频,ret,frame是获video_capture.read()方法的两个返回值。 # 其中ret是布尔值,如果读取帧是正确的则返回true, # 如果文件读取到结尾,它的返回值就为false。frame就是每一帧的图像,是个三维矩阵。 small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25) # 对截取到的图像进行处理 if process_this_frame: face_locations = face_recognition.face_locations(small_frame) face_encodings = face_recognition.face_encodings(small_frame, face_locations) face_names = [] for face_encoding in face_encodings: match = face_recognition.compare_faces([mayun_face_encoding, jobs_face_encoding], face_encoding) if match[0]: name = "mayun" elif match[1]: name = "jobs" else: name = "unknown" print(name) face_names.append(name) process_this_frame = not process_this_frame for (top, right, bottom, left), name in zip(face_locations, face_names): top *= 4 right *= 4 bottom *= 4 left *= 4 cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), 2) font = cv2.font_hershey_duplex cv2.puttext(frame, name, (left+6, bottom-6), font, 1.0, (255, 255, 255), 1) cv2.imshow('video', frame) if cv2.waitkey(1) & 0xff == ord('q'): break video_capture.release() cv2.destroyallwindows()
我使用手机中的照片来进行验证
因为是按每一帧进行读取:
有些人在使用时会出现摄像头打不开的情况
我使用的是win10系统给出一个建议:
在设置中找到隐私设置,在找到相机选项,把权限打开即可